Information Systems homework help

Discussion 1:
 
1)     Freshwater consumers
These analytics provide a detailed analysis of how countries are using the water for their day to day life (Sahay, 2017). Top ten freshwater consumers across the globe provide detailed information on how countries utilizing water. China and India’s countries are using the highest water agriculture because both countries completely based on these countries. When we compare the water consumption industries, agriculture, meat, and other productions are using water for their development.
 
2)     Olympic athlete body match
This is one of the major visualizations because it consists of filters so users can interact with visualizations and ensure to identify different countries Olympic models so that it will reduce risk factors and improve better insights for people. This visualization consisting of a comparison with weights, heights, and many more processes.
 
3)     Better life index
This is one of the best visualizations and it will measure the country’s level and their lifestyle based on user selection. It consists of multiple topics and factors which is incredibly important for the user. When users select different importance visualization will show the different countries their rating (Kirk, 2019). When I selected all the components and importance on the chart I observer the best country is Norway, and the next country is Australia. If the user is having an interest in safety and healthcare preference, they can select the factors and produce it into preference countries so that the user will understand the list of countries which helpful for living.
 
References
Kirk, A. (2019). Data visualisation. A handbook for data driven design. London: SAGE Publications.
Sahay, A. (2017). Data visualization. New York, NY: Business Expert Press.
 
Discussion 2:
 
The visualization that impressed me the most out of the choices was the Migration in the Census visualization (Po et al., 2020). The intractability made the facts and small bits of information jump off the screen. This visualization provided easily digestible information and used various colors and sizes of shapes to depict varying population densities. This helped, as a viewer, to quickly identify and acquire critical information (Healy, 2018).
 
The next visualization that stood out was the Top Ten Fresh Water Consumers (Seeing Data, 2020). This visualization, although static, provided detailed information in a single, easily readable graphic. The information that was gleaned was insightful and sensible. The use of colors made identifying the various paths on the illustration easy to follow and understand.
The third visualization that was meaningful was the Better Life Index (Po et al., 2020). This visualization used an interactive feature that allowed users to choose which topic area was most important with toggle buttons on the illustration’s right side. This drew the audience’s attention and allowed them to interact with the graphic to learn additional information about the topic without transitioning to different graphics. This type of visualization could be useful in settings where not all of the information is critical to every viewer. The color used for the graphic was subtle but provided a good understanding of what different colors represented (Po et al., 2020).
 
My review of the visualizations where among the average after submitting my choices. It seemed the visualizations that were more interactive received higher grading. However, the exercise helps individuals understand their learning style as an audience of a visualization. All audiences are different and data can be interpreted in different ways. Seeing how others compared the visualization was very helpful (Healy, 2018).
 
Reference
Healy, K. (2018). Data visualization: a practical introduction. Princeton University Press.
Po, L., Bikakis, N., Desimoni, F., & Papastefanatos, G. (2020). Linked Data Visualization: Techniques, Tools, and Big Data. Synthesis Lectures on Semantic Web: Theory and Technology, 10(1), 1-157.